288 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at Nature Careers
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-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research environment
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other chronic diseases. Under funding from the National Institute of Health, we are developing immunotherapies targeting cancer, cardiovascular and other chronic diseases using plant viruses as
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research environment with a strong scientific and social network for postdoctoral fellows and good mentoring opportunities to support individual career development. You will have access to state-of-the-art
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genetics, or bioinformatics. Our research focuses on modeling human brain development and function in cell culture to systematically investigate the genetic, cellular, and molecular basis of complex
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experiments to understand immunological mechanism in the context of type2 immune responses Develop and coordinate flow cytometry experiments (research group A. Kuehn) in the context of a clinical study with the
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. The Max Planck Postdoc Program aims to attract the world's most talented postdocs to the Max Planck Society and to support them in their career development with specially designed career development
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develop distributed and addressable robotic actuating materials that demonstrate multifunctionality through the broad bandwidth of light. The Robotic Materials group headed by Prof. Hedan Bai at Department
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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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(QMUL). The researcher will be working under the supervision of Prof. Matteo Palma (QMUL): see http://research.sbcs.qmul.ac.uk/m.palma/. We have developed different nanohybrids platforms interfacing low